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Topic · Oncology

Cancer-related Molecular Pathways

Cancer-related Molecular Pathways is a research topic within Oncology. Science Explorer counts 48k research works in it since 1950. 22.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the p53 signaling network, exploring its role in cell cycle regulation, tumor suppression, cancer therapy, apoptosis, and the impact of mutations. The papers cover various aspects of p53-MDM2 interaction, cyclin-dependent kinases, and the intricate mechanisms of p53 regulation in the context of cancer research.

  • p53
  • cell cycle
  • MDM2
  • tumor suppression
  • cancer therapy
  • apoptosis
  • CDKs
  • mutation
  • regulation
  • oncogene
Research works
48k
fractional, since 1950
In the world top 10%
11k
per year above
Top-10% rate
22.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-14%
the tick is no change

This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.

Which countries lead Cancer-related Molecular Pathways research?

By volume, China and the United States publish the most (1.2k and 1.2k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.2k works
  2. 2 United States 1.2k works
  3. 3 India 291 works
  4. 4 Japan 199 works
  5. 5 Germany 150 works
  6. 6 United Kingdom 143 works
  7. 7 Italy 143 works
  8. 8 South Korea 133 works
  9. 9 Canada 96 works
  10. 10 Spain 84 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 33.5%United States: 32.2%India: 8.1%Japan: 5.5%6 others listed: 20.7%33%largest
China1,211 · 33.5%United States1,164 · 32.2%India291 · 8.1%Japan199 · 5.5%6 others listed750 · 20.7%

Shares of the rows listed above, not of the whole node.

Which institutions lead Cancer-related Molecular Pathways research?

By volume in 2022–2025, The University of Texas MD Anderson Cancer Center publishes the most Cancer-related Molecular Pathways research, followed by University of North Carolina at Chapel Hill and Chinese Academy of Medical Sciences & Peking Union Medical College.

Who are the leading researchers in Cancer-related Molecular Pathways?

The most-cited researchers publishing on Cancer-related Molecular Pathways include Douglas Hanahan, Robert A. Weinberg and Guido Kroemer.

  1. 1 Douglas Hanahan United States 10k citations
  2. 2 Robert A. Weinberg United States 8.3k citations
  3. 3 Guido Kroemer France 4.2k citations
  4. 4 Gordon B. Mills United States 3.7k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Cancer-related Molecular Pathways research done?

The largest centres of Cancer-related Molecular Pathways research in 2022–2025 are Beijing (China), Shanghai (China), Houston (United States) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Houston and Bethesda.

Largest cities, 2022–2025

  1. 1 Beijing China 112 works
  2. 2 Shanghai China 104 works
  3. 3 Houston United States 77 works
  4. 4 Guangzhou China 73 works
  5. 5 New York United States 73 works
  6. 6 Seoul South Korea 67 works
  7. 7 Hangzhou China 60 works
  8. 8 Nanjing China 55 works
  9. 9 Wuhan China 48 works
  10. 10 Boston United States 47 works

Where it is the local speciality

  1. HoustonUS · 77.0 works6.8×
  2. BethesdaUS · 31.1 works5.5×
← less than its size predictsmore →

Location quotient: how much more of its research is in Cancer-related Molecular Pathways than the world average.

See Cancer-related Molecular Pathways on the map

Where is the best place to study Cancer-related Molecular Pathways?

Among universities, judged by research, China Pharmaceutical University, Karolinska Institutet and Harvard University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 28.63%fractional works in this node (log) →share in the world top 10% →China Pharmaceutical University: 14, 25.6%Karolinska Institutet: 11, 25.8%Harvard University: 15, 33.2%Zhejiang University: 15, 33.3%Cornell University: 9, 39.0%Sichuan University: 15, 30.8%China Medical University: 12, 22.8%Sun Yat-sen University: 16, 28.7%Nanjing Medical University: 11, 26.1%Chinese Academy of Medical Sciences & Peking Union Medical College: 18, 21.0%Zhejiang UniversityHarvard UniversityKarolinska InstitutetChina Pharmaceutical…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 China Pharmaceutical UniversityChina 64.025.6%14.6×14 +70.6%
2 Karolinska InstitutetSweden 46.025.8%5.4×11 -30.2%
3 Harvard UniversityUnited States 45.333.2%2.6×15 -27.0%
4 Zhejiang UniversityChina 44.733.3%1.6×15 +19.8%
5 Cornell UniversityUnited States 44.039.0%2.0×9 -4.5%
6 Sichuan UniversityChina 40.630.8%1.9×15 +9.8%
7 China Medical UniversityChina 40.422.8%8.0×12 -38.0%
8 Sun Yat-sen UniversityChina 40.228.7%2.2×16 +2.2%
9 Nanjing Medical UniversityChina 38.226.1%5.0×11 -14.0%
10 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 37.521.0%4.0×18 -7.0%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Cancer-related Molecular Pathways research growing?

Output in 2018–2022 was 14% lower than in 2013–2017, peaking in 2011. The fastest-growing topics are Cancer-related Molecular Pathways.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.